

NVIDIA A10G wins 5 of 9 benchmarks, averaging 3.8% faster.
NVIDIA Quadro RTX 6000 (Turing)'s numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
The gap is widest in Stable Diffusion XL, where NVIDIA A10G leads by 7% (6.38 vs 5.94 images/min); the closest fight is Qwen2.5-Coder-14B (1% apart); VRAM decides part of this one: NVIDIA Quadro RTX 6000 (Turing) runs 137 of our 12 AI workloads while the other card runs 4, models that don't fit score zero.
| Benchmark | NVIDIA A10G | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 125.23 | +4% |
| Llama-3.1-8B tok/s | 86.62 | 84.21 | +3% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 46.54 | +1% |
| Qwen3-32B tok/s | 22.04 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 5.94 | +7% |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 1 of 1; NVIDIA Quadro RTX 6000 (Turing) on 0.
| Workflow | NVIDIA A10G | NVIDIA Quadro RTX 6000 (Turing) | Difference |
|---|---|---|---|
| Full codebase review | 21.3 min | 21.5 min | NVIDIA A10G 1.01x faster |
| NVIDIA A10G | NVIDIA Quadro RTX 6000 (Turing) | |
|---|---|---|
| VRAM | 24GB | 24GB |
| Architecture | Ampere | Turing (TU102) |
| Memory bandwidth | 600 GB/s | 672 GB/s |
| Boost clock | 1,710 MHz | 1,770 MHz |
| TDP | 150 W | 260 W |
| Launch MSRP | $2,800 | $6,300 |
| Release | 2021-11-01 | 2018-08-14 |
NVIDIA A10G full review · NVIDIA Quadro RTX 6000 (Turing) full review · All AI & Machine Learning rankings